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Software Engineer - Machine Learning Group

30+ days ago 2026/07/15
Other Business Support Services
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Job description

About the Team
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next.
About the Role
As a Backend Engineer in the Machine Learning Group, you will build the systems that turn raw data into smart, reliable, and production-ready features used across our AI models and applications. You’ll design and develop scalable data and backend services that support model training, feature storage, and real-time inference. Working closely with Data Scientists and other engineers, you’ll ensure our models get high-quality, consistent inputs that improve performance and enable data-driven business decisions.

Responsibilities


  • Design and implement robust and scalable backend services using modern software stack.
  • Collaborate closely with product managers to ensure seamless integration and meet business requirements.
  • Write clean, maintainable, and efficient code.
  • Develop well-designed APIs to interface with frontend services, databases, and other third-party services.
  • Monitor system performance and identify bottlenecks, bugs, and ways to improve backend efficiency and speed.
  • Implement security and data protection best practices.
  • Conduct code reviews, ensuring high-quality code.
  • Stay updated with current best practices in software development and introduce them to our processes.

Expected Qualifications


  • 3+ years of experience in backend development, with a focus on Go, Java, kotlin, .Net etc.
  • Strong knowledge of modern programming languages, paradigms, constructs, and idioms.
  • Strong understanding of system architecture, object-oriented design, and design patterns.
  • Knowledge of common concurrency and async communication patterns.
  • Experience with databases (SQL or NoSQL)
  • Experience with working on high volume of data.
  • Proficient understanding of code versioning tools, such as Git.
  • Knowledge and practical usage of CI/CD pipelines
  • Nice-to-haves
  • Knowledge of Docker and Kubernetes
  • Knowledge of Feature Stores
  • Experience on Flink DataStream framework
  • ML engineering practices including but not limited to model training, ML pipelines and inference services

This job post has been translated by AI and may contain minor differences or errors.
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